Senior Software Engineer, AI

Opportunity

We are seeking a Senior Software Engineer to lead the architecture and implementation of our conversational AI platform. In this high-impact role, you will do more than just build features; you will own the ecosystem that allows our conversational AI capabilities to scale securely and reliably.

You will act as a technical lead across the full stack - architecting backend integrations in Ruby on Rails, developing core AI services in Python, and managing the underlying cloud infrastructure via Terraform. This is a role for an engineer who understands that production-grade AI requires not just great models, but rock-solid infrastructure, efficient data pipelines, and seamless application integration.

Responsibilities

• Architectural Leadership: Design and oversee the implementation of scalable, fault-tolerant systems that bridge our core Ruby on Rails/JavaScript application with cloud-native conversational services.
• Infrastructure as Code (IaC): Own the deployment and management of our AI infrastructure. You will write and maintain Terraform modules to provision cloud resources (GCP), ensuring our environment is reproducible, secure, and cost-effective.
• Backend Engineering & Integration: Build high-performance APIs and background workers in Ruby on Rails to handle asynchronous tasks, ensuring zero latency impact on the customer experience.
• AI Ops & Data Pipelines: Architect robust RAG (Retrieval-Augmented Generation) pipelines. You will optimize data ingestion strategies and manage vector database infrastructure to ensure our models have access to real-time, accurate context.
• Reliability & Observability: Define and implement monitoring, logging, and alerting strategies for both the application and infrastructure layers to meet strict enterprise SLAs.
• Mentorship: Champion engineering best practices, conduct code reviews, and mentor junior engineers on the nuances of building distributed systems involving NLP and LLMs.

 Requirements

• 5+ years of professional software engineering experience, with a focus on backend systems and infrastructure.
• Polyglot Expertise: Deep proficiency in Ruby on Rails for application logic and Python for AI/Data workflows. Experience with JavaScript/TypeScript for full-stack integration.
• Infrastructure Mastery: Demonstrated production experience with Terraform (IaC) and container orchestration (Docker/Kubernetes). You should be comfortable managing cloud resources (GCP preferred, AWS, Azure).
• Databases: Strong knowledge of SQL (PostgreSQL) and preferred experience with Vector Databases (Pinecone, Milvus, or pgvector).

Annual US Hiring Range: $120,000 - $150,000 

*A candidate’s actual placement within this range will depend on geographic location, work experience, education, and/or skill level.

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